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Quantification of Glomerular Structural Lesions: Associations With Clinical Outcomes and Transcriptomic Profiles in Nephrotic Syndrome.
Hodgin, Jeffrey B; Mariani, Laura H; Zee, Jarcy; Liu, Qian; Smith, Abigail R; Eddy, Sean; Hartman, John; Hamidi, Habib; Gaut, Joseph P; Palmer, Matthew B; Nast, Cynthia C; Chang, Anthony; Hewitt, Stephen; Gillespie, Brenda W; Kretzler, Matthias; Holzman, Lawrence B; Barisoni, Laura.
Afiliação
  • Hodgin JB; Renal Pathology, Department of Pathology, University of Michigan, Ann Arbor, Michigan. Electronic address: jhodgin@umich.edu.
  • Mariani LH; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
  • Zee J; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania; Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
  • Liu Q; Arbor Research Collaborative for Health, Ann Arbor, Michigan, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Smith AR; Arbor Research Collaborative for Health, Ann Arbor, Michigan, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Eddy S; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
  • Hartman J; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
  • Hamidi H; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
  • Gaut JP; Department of Pathology and Immunology, and Internal Medicine, Washington University, St. Louis, Missouri.
  • Palmer MB; Department of Pathology, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Nast CC; Department of Pathology, Cedars-Sinai Medical Center, Los Angeles, California.
  • Chang A; Department of Pathology, University of Chicago Medicine, Chicago, Illinois.
  • Hewitt S; Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Gillespie BW; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan.
  • Kretzler M; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
  • Holzman LB; Renal-Electrolyte and Hypertension Division, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Barisoni L; Department of Pathology, Division of AI & Computational Pathology, Duke University, Durham, North Carolina; Department of Medicine, Division of Nephrology, Duke University, Durham, North Carolina. Electronic address: laura.barisoni@duke.edu.
Am J Kidney Dis ; 79(6): 807-819.e1, 2022 06.
Article em En | MEDLINE | ID: mdl-34864148
ABSTRACT
RATIONALE &

OBJECTIVE:

The current classification system for focal segmental glomerulosclerosis (FSGS) and minimal change disease (MCD) does not fully capture the complex structural changes in kidney biopsies nor the clinical and molecular heterogeneity of these diseases. STUDY

DESIGN:

Prospective observational cohort study. SETTING &

PARTICIPANTS:

221 MCD and FSGS patients enrolled in the Nephrotic Syndrome Study Network (NEPTUNE). EXPOSURE The NEPTUNE Digital Pathology Scoring System (NDPSS) was applied to generate scores for 37 glomerular descriptors.

OUTCOME:

Time from biopsy to complete proteinuria remission, time from biopsy to kidney disease progression (40% estimated glomerular filtration rate [eGFR] decline or kidney failure), and eGFR over time. ANALYTICAL

APPROACH:

Cluster analysis was used to group patients with similar morphologic characteristics. Glomerular descriptors and patient clusters were assessed for associations with outcomes using adjusted Cox models and linear mixed models. Messenger RNA from glomerular tissue was used to assess differentially expressed genes between clusters and identify genes associated with individual descriptors driving cluster membership.

RESULTS:

Three clusters were identified X (n = 56), Y (n = 68), and Z (n = 97). Clusters Y and Z had higher probabilities of proteinuria remission (HRs of 1.95 [95% CI, 0.99-3.85] and 3.29 [95% CI, 1.52-7.13], respectively), lower hazards of disease progression (HRs of 0.22 [95% CI, 0.08-0.57] and 0.11 [95% CI, 0.03-0.45], respectively), and lower loss of eGFR over time compared with X. Cluster X had 1,920 genes that were differentially expressed compared with Y+Z; these reflected activation of pathways of immune response and inflammation. Six descriptors driving the clusters individually correlated with clinical outcomes and gene expression.

LIMITATIONS:

Low prevalence of some descriptors and biopsy at a single time point.

CONCLUSIONS:

The NDPSS allows for categorization of FSGS/MCD patients into clinically and biologically relevant subgroups, and uncovers histologic parameters associated with clinical outcomes and molecular signatures not included in current classification systems.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glomerulosclerose Segmentar e Focal / Nefropatias / Nefrose Lipoide / Síndrome Nefrótica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glomerulosclerose Segmentar e Focal / Nefropatias / Nefrose Lipoide / Síndrome Nefrótica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article